Psychology 2135A/B Lecture Notes - Information Processing, Dependent And Independent Variables, Artificial Neural Network

41 views2 pages
Published on 9 Nov 2011
Department
Professor
1. Paradigms
- Kuhn argue scientists have paradigms and new paradigms work better and replace old ones i.e.
Einstein's theory of relativity
- after a paradigm shift, enter a period of normal science
- then get more data that new model cannot handle so a newer model is created
- very dramatic shift in what everybody believes
- what questions should we ask, what terms should we use, how do we analyze, etc.
A. Information processing methods
- based on computer programs and computer architecture
- architecture: computers have an input system (keyboard), a central processor to do the
computing and the output system (screen)
- program: humans have input systems (senses), central processor (mind), output system
(commands to muscles)
- information stored in computer in symbolic form (binary code, 1, 0); human minds must have
something similar
- Pylyshyn (psychologist): symbol has a physical form and also has a meaning, thus, symbols
solve the mind-body problem; not really
- figure out architecture and program running the human mind
- information flows through organism, processed in stages, stored in specific places while being
processed
sensory input -> attention -> working memory Long-term
memory
Response output
- each function modelled on how computer does a task
- this system encodes information into representations - what are they like?
- processes operate on those representations - what are they like? (how do we retrieve memory,
how do we find it?)
- model is a general-purpose system - small set of processes can be combined in a great many
ways
- model in textbook is wrong; response output cannot come from long-term memory
B. Connectionist models
- Neural networks: simple neuron-like elements called nodes
- nodes have two qualities: activation level (energy level), weights on connections to other nodes
(adjusts levels of transfer of energy)
- experience decides amount of energy transfer between nodes
- across set of nodes, pattern of activation shows which nodes are on and which are off
- patterns of activation across a large population of nodes constitute representations
- doesn't tell us what things are, just relations
- if any node can be turned on, it can cause other nodes to be activated
Unlock document

This preview shows half of the first page of the document.
Unlock all 2 pages and 3 million more documents.

Already have an account? Log in

Document Summary

Kuhn argue scientists have paradigms and new paradigms work better and replace old ones i. e. einstein"s theory of relativity. After a paradigm shift, enter a period of normal science. Then get more data that new model cannot handle so a newer model is created. Very dramatic shift in what everybody believes. What questions should we ask, what terms should we use, how do we analyze, etc. Based on computer programs and computer architecture. Architecture: computers have an input system (keyboard), a central processor to do the computing and the output system (screen) Program: humans have input systems (senses), central processor (mind), output system (commands to muscles) Information stored in computer in symbolic form (binary code, 1, 0); human minds must have something similar. Pylyshyn (psychologist): symbol has a physical form and also has a meaning, thus, symbols solve the mind-body problem; not really. Figure out architecture and program running the human mind.

Get OneClass Grade+

Unlimited access to all notes and study guides.

YearlyMost Popular
75% OFF
$9.98/m
Monthly
$39.98/m
Single doc
$39.98

or

You will be charged $119.76 upfront and auto renewed at the end of each cycle. You may cancel anytime under Payment Settings. For more information, see our Terms and Privacy.
Payments are encrypted using 256-bit SSL. Powered by Stripe.